Skills

Icp Evidence Analysis

Turn a source-bound company and market dossier into testable ideal-customer-profile...

Install

npx skills add elvisun/newsjack --skill icp-evidence-analysis -g -a claude-code -y
Repository
elvisun/newsjack1.7k
Category
AI and agents
Updated
10d ago
License
MIT
Context cost
Lightabout 1,267 tokens
Runs scripts
No, instructions only

What it does

Turn a source-bound company and market dossier into testable ideal-customer-profile hypotheses, buying roles, triggers, constraints, disqualifiers, standing, counterevidence, and research gaps. Use when a URL, company description, monitor profile, or evidence manifest needs to become defensible ICP inputs for buyer research or an AI-visibility prompt panel.

ICP Evidence Analysis

Build hypotheses from evidence. Do not write persona fiction.

This skill inherits the ethical floor from skills/ETHICS.md. It enforces anti-hallucination and permission checks. Anti-spray and human-send are not applicable because this skill produces research artifacts, not outreach.

Inputs

Accept any combination of:

  • a company URL and user-supplied description;
  • source_manifest.json;
  • public product, pricing, integration, security, support, certification, filing, review, or coverage pages;
  • an existing Newsjack monitor profile as unverified leads;
  • target markets, exclusions, permitted-data rules, or fact-check results.

If only a URL and description are supplied, research enough independent public evidence to test the website's claims. Never treat a target's own positioning as buyer behavior.

Build the evidence perimeter

For every material claim, retain:

  • source ID, canonical URL or authorized file;
  • title/publisher, access or publication date, and source type;
  • exact span or a faithful short paraphrase;
  • whether it is company_asserted, buyer_behavior, or independent;
  • fact type, confidence, and permission status.

Keep negative and conflicting evidence. Stop if a source is private, unlawfully obtained, outside the user's permission, or contains personal data that is not needed.

Separate:

  • products, capabilities, limitations, integrations, proof assets, and geographies;
  • declared segments from independently supported demand;
  • exact brand, product, domain, people, slogan, proprietary-category, campaign, and flattering-claim terms for the later contamination register;
  • competitors named by evidence from alternatives merely guessed by the model.

Classify by publisher provenance, not by the claim's tone. A target-authored postmortem, benchmark, customer story, or technical article remains company_asserted; split it from any third-party analysis instead of blending both into one independent record.

Read the whole SKILL.md on GitHub

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